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Paper Citation Record · LEDGER

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.03150.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.03150 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:42:54.775297Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddb4b519-24eb-4f86-8f48-9c2dc502cd0b · outbound

This paper cites OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.007162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.007162Z digest=sha256:ddcf883bb649094978a886bed2cb51441cf9fa5c2865ed3ba99c575987df7539

Observation 55b5f6d5-e72c-4da4-a43c-b46a8fb141aa · outbound

This paper cites InCompanion Proceedings of the ACM Web Conference 2025, 413–421.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InCompanion Proceedings of the ACM Web Conference 2025, 413–421

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:56.202041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:42:54.198191Z digest=sha256:406aa6ad84d4eb1768dfd0ab3d766b61cd010e376c1074a7dbb1365caacde126

Observation 6c7e3214-0d0d-4df5-9044-216089781599 · outbound

This paper cites InProceedings of the ACM Web Conference 2026, 1–11.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InProceedings of the ACM Web Conference 2026, 1–11

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:55.700340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:42:54.368251Z digest=sha256:8be37062f015d08ae330429bd0831d15f136b01fb98f77bf854ceb03f5cceca8

Observation 71cdc579-1be2-42aa-8a8b-43c317ea6a31 · outbound

This paper cites arXiv:2602.22732.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval arXiv:2602.22732

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.495711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.495711Z digest=sha256:91884475425862f389035dd8d639e3e4023fd2b420dc93b69002434fe9fea58f

Observation b0b12485-7973-4f8b-973a-89d5a5be76fd · outbound

This paper cites RepBERT: Contextualized Text Embeddings for First-Stage Retrieval.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:42:54.953649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:42:54.581010Z digest=sha256:4d1c50484f6bd4d5a7703fbf492dcd5211875ad0cdb10b764c4356b265db056a

Observation 3044997f-5442-4599-92df-ddae2677201c · outbound

This paper cites Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.631124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.631124Z digest=sha256:beb80a04bf236fb42b76d1f0bc8d8c7dce3c2f09801201ccc0b4c3e42c2d2896

Observation f50da04a-5fe5-4bf1-8ea4-ba391b8517da · outbound

This paper cites EGA-V2: An End-to-end Generative Framework for Industrial Advertising.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.716645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.716645Z digest=sha256:ac7414913b4bcc47f017e70fbfe5458d74ad10f7d03255e7fb2a80714d082434

Observation 82b71064-608c-43de-a650-ddb61687bcd6 · outbound

This paper cites Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.775297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.775297Z digest=sha256:097f95ce73434eceec0fb19d94094754abcd79f1fef921e553a26aa31162ef3a

Observation 6098d07c-10bb-4887-958a-a0509f08d554 · outbound

This paper cites Transformer Memory as a Differentiable Search Index.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Transformer Memory as a Differentiable Search Index

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:55.460426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:42:54.444143Z digest=sha256:7ed0e36dc7b7e8a4caf0dda888d1fac6ebe0d849e4ea07729fcf4213a4819edc

Observation e8b7bbed-a1d7-4847-af68-89165c6935ac · outbound

This paper cites OnePiece:Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval OnePiece:Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.909830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.909830Z digest=sha256:e3392e3fed2be2c09fafb138829faac251dacac573128305c4c009b52db1e758

Observation fe9a3337-bcec-4803-be8e-fa9969dcc846 · outbound

This paper cites InPro- ceedings of the Third Text REtrieval Conference (TREC-3), 109–126.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InPro- ceedings of the Third Text REtrieval Conference (TREC-3), 109–126

Reference 1995

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:55.952647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:42:54.300651Z digest=sha256:cb8a5df6fa540fc7b9dc40f0cd92b542d6edd628aeb8a6a54fa74406b82f8196

Observation c5651e72-e48f-4bb5-8487-a462a4c749c5 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.637623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.637623Z digest=sha256:9c30e72c08b0d136573801729ce9c63d0b64cf5cbf5bdb6be221addde0f6128d

Observation 61dc917f-d514-40e0-9314-f7673a22258c · outbound

This paper cites Generative Retrieval with Preference Optimization for E-commerce Search.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Generative Retrieval with Preference Optimization for E-commerce Search

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.087119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.087119Z digest=sha256:717690d217ae1a5ed4cfa4190b22d5688ab32be00d7ae0087cfd627c17ff9a94

Observation ae552ce7-5046-4a74-9212-025a4fd0cf6d · outbound

This paper cites InFindings oftheAssociationforComputationalLinguistics:ACL2022, 1864–1874.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InFindings oftheAssociationforComputationalLinguistics:ACL2022, 1864–1874

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:56.448173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:42:54.148640Z digest=sha256:bdaf8e0509eff71b98f2300157fa7c6cb7c7f7d5d286208ba351ac9a5a439c75

Observation 8f8cdeb9-66b8-49dc-9d71-a1de8b5bac1b · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.273448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.273448Z digest=sha256:f26e5f413706e2e151bcca3b66bffafb5ece4b56fe3a823e2ec0224413a2b2d7

Observation 0bfca400-1104-46a4-a992-542ee4ba6eea · outbound

This paper cites arXiv:2509.03236.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval arXiv:2509.03236

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.807440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.807440Z digest=sha256:6f8e044d71f5cff72621fdd26db88630abba6c13daa7fc7260f7ede926960134

Observation 53ba6d1c-6d20-4f62-9f43-c6f16afabf71 · outbound

This paper cites arXiv:2602.08575.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval arXiv:2602.08575

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.957560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.957560Z digest=sha256:e7480d2f484e5ee42bcdae214287458693dcd269aa835188674baf99696059a1

Pith citing papers

No inbound Pith citation observations are available.